Network Migration Optimization Using Genetic Algorithms - Archive ouverte HAL Access content directly
Conference Papers Year : 2012

Network Migration Optimization Using Genetic Algorithms

(1) , (1) , (1) , (1)
1

Abstract

This paper introduces the problem of communication network migration for backbone networks. Heuristic solutions for this problem can be determined by the application of genetic algorithms to the problem. A description of the system model is presented, as well as the used algorithmic approaches and optimization results. Our main goal is the optimization of migration costs, by respecting increasing demands over the migration period, while device costs per bit are decreasing. We will present Crowded DPGA as best found GA to solve the network migration problem.
Fichier principal
Vignette du fichier
978-3-642-32808-4_11_Chapter.pdf (450.47 Ko) Télécharger le fichier
Origin : Files produced by the author(s)
Loading...

Dates and versions

hal-01543164 , version 1 (20-06-2017)

Licence

Attribution - CC BY 4.0

Identifiers

Cite

Stefan Türk, Ying Liu, Rico Radeke, Ralf Lehnert. Network Migration Optimization Using Genetic Algorithms. 18th European Conference on Information and Communications Technologies (EUNICE), Aug 2012, Budapest, Hungary. pp.112-123, ⟨10.1007/978-3-642-32808-4_11⟩. ⟨hal-01543164⟩
161 View
102 Download

Altmetric

Share

Gmail Facebook Twitter LinkedIn More